github-agent
AI that fixes GitHub issues, reviews its own diff, ships PRs
github-agent launched on April 27, 2026 with 3 votes, #2,709 of 21,248 launches that month and more than 50% of that year's launches.
What it does
Hey Product Hunt! 👋 I got tired of AI coding tools that generate code and then hand the wheel back to me. So I built something that actually ships. Give it a GitHub issue URL and it: - Clones the repo and reads the relevant code - Patches the bug and runs your test suite - Has a **second AI reviewer** audit the diff (bugs, edge cases, test coverage, scope creep) - Revises if the review requests changes - Opens a pull request with the full audit report in the body
An autonomous AI engineering agent that resolves issues, writes code, and strictly reviews its own pull requests before shipping. - Hadar01/github-agents
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Git for AI AgentsMay 2026 · github.com · ▲129hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
i built an AI code reviewer for github (used it on itself during dev)2025 · codii.dev · ▲6I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…
We built an AI Agent to reproduce bugsApr 2026 · metabase.com · ▲12At Metabase, we built an AI agent called Repro-Bot that reads our GitHub issues and attempts to reproduce reported bugs automatically. It started as a hackathon project and is now part of our daily workflow, so we wrote about it and open-sourced the code as an example for others. How have similar tools been working for you? What has worked well and what has not?
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Source: Product Hunt launch ↗
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